Middle Africa vs Somalia: Watermelons — Gross per capita Production Index Number
Middle Africa
116.55
in 2024
Somalia
250.4
in 2024
Middle Africa rank
5th
Somalia rank
8th
Watermelons — Gross per capita Production Index Number over time
- Middle Africa
- Somalia
How they compare
Somalia currently reports 250.4 against 116.55 in Middle Africa, a difference of 133.85.
That makes Somalia's figure about 2.1 times Middle Africa's.
The two have swapped places 4 times across 35 shared years of data; in 1990 it was Somalia ahead.
Middle Africa ranks 5th and Somalia ranks 8th of 16 groups.
Across the 4 decades both report, Middle Africa averaged higher in 1 and Somalia in 3.
Head to head by decade
| Decade | Middle Africa | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 37.21 | 1,083 | 1,046 | Somalia |
| 2000s | 62.82 | 395.41 | 332.59 | Somalia |
| 2010s | 91 | 110.97 | 19.98 | Somalia |
| 2020s | 115.45 | 106.41 | 9.05 | Middle Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Middle Africa or Somalia?
- Somalia, at 250.4 against 116.55 in Middle Africa as of 2024.
- What is the difference in watermelons — gross per capita production index number between Middle Africa and Somalia?
- 133.85, with Somalia ahead.
- How many years of comparable data are there for Middle Africa and Somalia?
- 35 years are reported by both, from 1990 to 2024.
- How do Middle Africa and Somalia rank globally for watermelons — gross per capita production index number?
- Middle Africa ranks 5th and Somalia ranks 8th of 16 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.